A recent report published by
Infinium Global Research on the automated fingerprint identification systems market
provides in-depth analysis of segments and sub-segments in the global as well
as regional automated fingerprint identification systems market. The study also
highlights the impact of drivers, restraints, and macro indicators on the
global and regional automated fingerprint identification systems market over
the short term as well as long term. The report is a comprehensive presentation
of trends, forecast and dollar values of the global automated fingerprint
identification systems market. According to the report, the global automated
fingerprint identification systems market is projected to grow at a CAGR of 18%
over the forecast period of 2021-2027.
The revenue generated by the
market was approximately USD 6 billion in 2021 and is expected to reach
approximately USD 16 billion in 2027. The Automated Fingerprint Identification
System (AFIS) is a biometric system that searches and compares a computer
database of fingerprint records to distinguish between recognised and
unfamiliar fingerprints. A modern, automated fingerprint identification system
(AFIS) can search over a billion fingerprint records in a single second. The
AFIS' transformation into a highly efficient and effective technology capable
of shifting through massive datasets and providing probable fingerprint matches
in a matter of minutes is the result of five decades of research and
development. The AFIS finds its origin in the 1960s, during the electronic
revolution. The AFIS finds its application in a wide range of industries. It is
being actively demanded as AFIS has become relevant in modern identification
management systems. The two categories that fall under AFIS are Tenprint
Identification and Latent Print Identification.
Automated Fingerprint
Identification Systems are being widely adopted in BFSI. These systems are being
integrated with automatic teller machines, or ATMs, to ensure the security of
cash withdrawals and deposits. Furthermore, integrating automated fingerprint
identification systems with the BFSI systems is helping the BFSI industry to
offer paperless and hassle-free services such as account opening to their
customers. In recent years, the migration of people has taken place at a huge
level. Some of the immigrants adopt illegal methods to enter the country, which
may increase the threat of terrorist attacks. According to the Annual
International Migration and Forced Displacement Trends and Policies Report to
the G20 by UNHR and the OECD, there were 12.5 million new permanent and
temporary immigrants in 2019 in G20 countries. The immigrants need to be documented
carefully and automated fingerprint identification systems play an important
role in this process and also substantially decrease the terrorism threats that
may emerge in the form of immigrants. The growth of the market may be
restrained as AFIS is vulnerable to cybersecurity threats. Nevertheless, new
growth opportunities are in foresight as new technologies such as AI and ML are
emerging in the market. The integration of these new technologies with AFIS is
expected to increase its speed, efficiency, and accuracy.
North America is expected to
dominate the market over the forecast period. North America has been one of the
pioneers in biometric authentication technologies. Automated fingerprint
identification systems are also being largely adopted and developed in North
America. Governments, law enforcement agencies, BFSI, and healthcare are some
of the major users of automated fingerprint identification systems in North
America. Since the North American region has a high crime rate, the integration
of automated fingerprint identification systems with criminal records and other
policing systems helps the law enforcement agencies tackle criminals more
effectively and maintain law and order. Furthermore, North America is the most
preferred destination for immigrants from around the world. Each year, 100,000
immigrants arrive in North America for various purposes. They need to be
documented upon arrival, and the adoption of an automated fingerprint
identification system has simplified and increased the speed of the
documentation process. BFSI industries North America has also implemented an
automated fingerprint identification system into its systems in order to reduce
the risk of financial fraud and provide secure authentication to its customers.
The report on global automated
fingerprint identification systems market covers segments such as component,
identification type, and end user. On the basis of component, the sub-markets
include software, hardware, and services. On the basis of identification type,
the sub-markets include tenprint identification, and latent print
identification. On the basis of end user, the sub-markets include BFSI,
healthcare, government, transportation, automotive, and others.
The report provides profiles of
the companies in the market such as Fujitsu Limited, Sonda Technologies, NEC
Corporation, Gemalto NV, Robert Bosch GmbH, SUPREMA, DERMALOG Identification
Systems GmbH, Thales Group, HID Global Corporation, and Aware, Inc.
The report provides deep insights
into the demand forecasts, market trends, and micro and macro indicators. In
addition, this report provides insights into the factors that are driving and
restraining the growth in this market. Moreover, The IGR-Growth Matrix analysis
given in the report brings an insight into the investment areas that existing
or new market players can consider. The report provides insights into the
market using analytical tools such as Porter's five forces analysis and DRO
analysis of the automated fingerprint identification systems market. Moreover, the
study highlights current market trends and provides forecast from 2021-2027. We
also have highlighted future trends in the market that will affect the demand
during the forecast period. Moreover, the competitive analysis given in each
regional market brings an insight into the market share of the leading players.
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